David Stap

According to our database, David Stap authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Effective Distillation to Hybrid xLSTM Architectures.

Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied, Anamaria-Roberta Hartl, David Stap, Pieter-Jan Hoedt, Maximilian Beck, Sebastian Böck, Günter Klambauer, Sepp Hochreiter

CoRR, March, 2026

Analyzing and Improving Cross-lingual Knowledge Transfer for Machine Translation.

David Stap

CoRR, January, 2026

2025

MMTEB: Massive Multilingual Text Embedding Benchmark.

Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

CoRR, February, 2025

MMTEB: Massive Multilingual Text Embedding Benchmark.

Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Veysel Çagatan, Akash Kundu, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?

Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Sima'an

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation.

David Stap, Christof Monz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.

David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran

CoRR, 2024

How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data.

Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz

CoRR, 2024

UvA-MT's Participation in the WMT24 General Translation Shared Task.

Shaomu Tan, David Stap, Seth Aycock, Christof Monz, Di Wu

Proceedings of the Ninth Conference on Machine Translation, 2024

Data Contamination Report from the 2024 CONDA Shared Task.

Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar, Eneko Agirre, Yoav Goldberg, Wei-Lin Chen, Jenny Chim, Leshem Choshen, Luca D'Amico-Wong, Melissa Dell, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang

Proceedings of the First Data Contamination Workshop, 2024

How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data.

Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz

Proceedings of the Findings of the Association for Computational Linguistics, 2024

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.

David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

UvA-MT's Participation in the WMT23 General Translation Shared Task.

Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz

CoRR, 2023

UvA-MT's Participation in the WMT 2023 General Translation Shared Task.

Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz

Proceedings of the Eighth Conference on Machine Translation, 2023

Improving Domain Robustness in Neural Machine Translation with Fused Topic Knowledge Embeddings.

Danai Xezonaki, Talaat Khalil, David Stap, Brandon Denis

Proceedings of Machine Translation Summit XIX, 2023

Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens.

David Stap, Vlad Niculae, Christof Monz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multilingual k-Nearest-Neighbor Machine Translation.

David Stap, Christof Monz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Towards a general purpose machine translation system for Sranantongo.

Just Zwennicker, David Stap

CoRR, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi

CoRR, 2022

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Conditional Image Generation and Manipulation for User-Specified Content.

David Stap, Maurits J. R. Bleeker, Sarah Ibrahimi, Maartje ter Hoeve

CoRR, 2020